Litcius/Paper detail

A flexible and efficient knowledge-guided machine learning data assimilation (KGML-DA) framework for agroecosystem prediction in the US Midwest

Qi Yang, Licheng Liu, Junxiong Zhou, Rahul Ghosh, Bin Peng, Kaiyu Guan, Jinyun Tang, Wang Zhou, Vipin Kumar, Zhenong Jin

2023Remote Sensing of Environment45 citationsDOI

Topics & Concepts

Computer sciencePrimary productionEnsemble Kalman filterMachine learningContext (archaeology)Data assimilationLeaf area indexArtificial intelligenceKalman filterEcosystemExtended Kalman filterEcologyBiologyPhysicsPaleontologyMeteorologyClimate change impacts on agricultureRemote Sensing in AgriculturePlant Water Relations and Carbon Dynamics
A flexible and efficient knowledge-guided machine learning data assimilation (KGML-DA) framework for agroecosystem prediction in the US Midwest | Litcius